PSYC 337 - Advanced Graduate Statistics

Spring 2018: Structural equation modeling is set of advanced statistical techniques and analyses that can test psychological theories and models. This course provides an introduction to structural equation modeling with an emphasis on the importance of psychological theory, the limitations of these models, and the critical evaluation of one’s own models and models found in the literature. We will cover path analysis, confirmatory factor analysis, latent variable models with causal paths, and model evaluation and comparison, along with variations and special topics of these core analyses. A strong background and competence in linear regression is necessary to succeed in this course, and we will be using R (primarily) to analyze data.

Anticipated Terms Offered: Every other spring